基于平面波超声成像的自适应波束合成方法  

Self-Adaptive Beamforming Method Based on Plane Wave Ultrasound Imaging

作　　者：张龙龙[1] 周浩[1] 郑音飞[2] 弓晓虹[1] 王剑平[3] 

机构地区：[1]浙江大学生物医学工程学系,杭州310027 [2]浙江大学电子科学技术及仪器学系,杭州310027 [3]浙江省宁波市第二医院,宁波315000

出　　处：《生物医学工程学杂志》2013年第4期843-848,853,共7页Journal of Biomedical Engineering

摘　　要：为了提高超声成像的分辨率、对比度和帧频,需要设计一种适用于平面波超声成像的自适应波束合成方法。在传统最小方差算法的基础上,在频率域综合采用子带波束合成和前后向空间平滑方法,提出了一种适用于平面波超声成像的优化后最小方差算法。为了验证算法的有效性,采用matlab进行算法仿真验证。仿真结果表明:Optimized MV、Conventional MV、DAS boxcar和Linear scan方法的半高全宽和峰值旁瓣水平分别为0.08、0.36、0.92、1.42dB和-41.1、-37.3、-16.9、-34.1dB。该算法与传统的最小方差和延时叠加法相比,能够显著提高图像分辨率和对比度,特别适用于基于平面波的超声成像。In order to improve the resolution,contrast and frame rate of ultrasound imaging,it is necessary to design an adaptive beamforming method for plane wave ultrasound imaging.An optimized minimum variance algorithm that suits plane wave ultrasound imaging was proposed,based on the traditional minimum variance algorithm that combines with the subband beamforming as well as the forward-backward spatial smoothing method in the frequency domain.To verify the effectiveness of the improved algorithm,the matlab software was used.Simulation results showed that full width at half maximum and peak side-lobe level of Optimized MV,Conventional MV,DAS boxcar,and Linear scan methods were 0.08,0.36,0.92,1.42 dB,and-41.1,-37.3,-16.9,-34.1 dB,respectively.The improved algorithm can significantly improve the image resolution and contrast,particularly applicable to plane wave ultrasound imaging,compared with the conventional minimum variance algorithm and traditional delay-and-sum method.

关 键 词：平面波 自适应波束合成 超声成像 最小方差 

分 类 号：R445.1[医药卫生—影像医学与核医学] TN911.7[医药卫生—诊断学]